Skip to main content

A QoS-Aware Web Service Composition Approach Based on Genetic Programming and Graph Databases

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10439)

Abstract

A Web service can be thought of as a software module designed to accomplish specific tasks over the Internet. Web services are very popular, as they encourage code reuse as opposed to re-implementing already existing functionality. The process of combining multiple Web services is known as Web service composition. Previous attempts at automatically generating compositions have made use of genetic programming to optimize compositions, or introduced databases to keep track of relationships between services. This paper presents an approach that combines these two ideas, generating new compositions based on information stored in a graph database and then optimising their quality using genetic programming. Experiments were conducted comparing the performance of the newly proposed approach against that of existing works. Results show that the new approach executes faster than the previously proposed works, though it does not always reach the same solution quality as the compositions produced by them. Despite this, the experiments demonstrate that the fundamental idea of combining graph databases and genetic programming for Web service composition is feasible and a promising area of investigation.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-64471-4_4
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   64.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-64471-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   84.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.

References

  1. van der Aalst, W.M.P., Dumas, M., ter Hofstede, A.H.M.: Web service composition languages: Old wine in new bottles? In: 29th EUROMICRO 2003 Conference on New Waves in System Architecture, 3–5 September 2003, Belek-Antalya, Turkey, pp. 298–307 (2003)

    Google Scholar 

  2. Bansal, A., Blake, M.B., Kona, S., Bleul, S., Weise, T., Jaeger, M.C.: WSC-08: continuing the Web services challenge. In: 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services, pp. 351–354. IEEE (2008)

    Google Scholar 

  3. Hashemian, S.V., Mavaddat, F.: A graph-based approach to Web services composition. In: 2005 IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2005), Trento, Italy, 31 January–4 February 2005, pp. 183–189 (2005)

    Google Scholar 

  4. Lerina Aversano, M.D., Taneja, K.: A genetic programming approach to support the design of service compositions. In: First International Workshop on Engineering Service Compositions (WESC 2005) (2005)

    Google Scholar 

  5. Li, J., Yan, Y., Lemire, D.: Full solution indexing using database for QoS-aware Web service composition. In: IEEE International Conference on Services Computing (SCC), Anchorage, AK, USA, 27 June–2 July 2014, pp. 99–106 (2014)

    Google Scholar 

  6. Milanovic, N., Malek, M.: Current solutions for web service composition. IEEE Internet Comput. 8(6), 51–59 (2004)

    CrossRef  Google Scholar 

  7. Ni, J., Zhao, X., Zhu, L.: A semantic Web service-oriented architecture for enterprises. In: International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Beijing, China, 14–16 October 2007, pp. 535–544 (2007)

    Google Scholar 

  8. da Silva, A.S., Ma, H., Zhang, M.: GraphEvol: A graph evolution technique for Web service composition. In: Chen, Q., Hameurlain, A., Toumani, F., Wagner, R., Decker, H. (eds.) DEXA 2015. LNCS, vol. 9262, pp. 134–142. Springer, Cham (2015). doi:10.1007/978-3-319-22852-5_12

    CrossRef  Google Scholar 

  9. da Silva, A.S., Ma, H., Zhang, M.: Genetic programming for QoS-aware web service composition and selection. Soft. Comput. 20(10), 3851–3867 (2016)

    CrossRef  Google Scholar 

  10. Srivastava, B., Koehler, J.: Web service composition - current solutions and open problems. In: ICAPS 2003 Workshop on Planning for Web Services, pp. 28–35 (2003)

    Google Scholar 

  11. Yu, Y., Ma, H., Zhang, M.: An adaptive genetic programming approach to QoS-aware Web services composition. In: IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 20–23 June 2013, pp. 1740–1747 (2013)

    Google Scholar 

  12. Zhang, Z., Ma, H.: Using Graph Databases for Automatic QoS-Aware Web Service Composition. Technical report ECSTR 16–07, Victoria University of Wellington (2016). http://ecs.victoria.ac.nz/foswiki/pub/Main/TechnicalReportSeries/ECSTR16-07.pdf

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexandre Sawczuk da Silva .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

da Silva, A.S., Moshi, E., Ma, H., Hartmann, S. (2017). A QoS-Aware Web Service Composition Approach Based on Genetic Programming and Graph Databases. In: Benslimane, D., Damiani, E., Grosky, W., Hameurlain, A., Sheth, A., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2017. Lecture Notes in Computer Science(), vol 10439. Springer, Cham. https://doi.org/10.1007/978-3-319-64471-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-64471-4_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64470-7

  • Online ISBN: 978-3-319-64471-4

  • eBook Packages: Computer ScienceComputer Science (R0)